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Connect Bitbucket Cloud to your AI tools with Atlassian MCP

Developers use Bitbucket Cloud every day to turn plans into working software. Code lives in repositories, feedback happens in pull requests, and Bitbucket Pipelines helps teams validate changes before they move forward. For an AI assistant to help with this work, it needs access to the same information. Without a direct connection, developers have to gather pull request details, pipeline results, logs, and links before the assistant can help.

Stop Adding HR Tools. Start Using the Platform You Already Have | Atlassian Webinar

Tired of spreadsheet trackers, lost Slack requests, and SaaS sprawl? Learn how to turn your existing Atlassian stack—Jira, Confluence, and Jira Service Management—into a unified HR hub for recruiting, zero-touch onboarding, and compliance. Most companies run on Atlassian, but HR workflows often remain scattered across spreadsheets, endless email threads, and disconnected SaaS tools. The answer isn't another point solution or a costly rip-and-replace—it's connecting the systems you already have.

How we accelerated code review in a large monorepo using Agentic Pipelines

Last quarter, our AI reviewer told a developer who was fixing a CSS bug to rethink how their component fetched data. The comment was well written and confidently worded. It was also about code they hadn’t touched. That’s what tends to happen when you hand an agent every team’s review guidelines at once.

Dave Killeen: What to Do When Execs Demand AI

Dave Killeen will tell you, on record, that his relationship with AI has crossed into unhealthy territory. He also says he has never felt more alive, that he is 50 and feels 30, and that he sometimes waits for his two small children to go to bed so he can start a coding session. In between, he gives Axel Sooriah the most practical answer on this show yet to the question every product team is facing: your exec says "we need AI," and you have no idea what they actually want.